Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation.

Na Li|Jiaqi Yu|Minzhi Xie|Tiantian He|Xiaoxiao Xu|Zixiu Wang|Lantao Hu|Yongqi Liu|Han Li|Kaiqiao Zhan|Kun Gai


Anthology ID:DBLP:conf/sigir/LiYXHXWHLLZG26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1038-1048
URL:https://doi.org/10.1145/3805712.3809715
DOI:https://doi.org/10.1145/3805712.3809715
DBLP:conf/sigir/LiYXHXWHLLZG26
BibTeX:
@inproceedings{li-2026-towards, author = {Na Li and Jiaqi Yu and Minzhi Xie and Tiantian He and Xiaoxiao Xu and Zixiu Wang and Lantao Hu and Yongqi Liu and Han Li and Kaiqiao Zhan and Kun Gai}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {1038--1048}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809715}, doi = {https://doi.org/10.1145/3805712.3809715} }